PN (Pseudo-Noise) code tracking is the most challenging task in a Direct Sequence Spread Code Division Multiplex Access (DS-CDMA) for celluar mobile communication systems. In this paper, the gravity of energy windows ...PN (Pseudo-Noise) code tracking is the most challenging task in a Direct Sequence Spread Code Division Multiplex Access (DS-CDMA) for celluar mobile communication systems. In this paper, the gravity of energy windows (GEW) tracking loop of the time and frequency uncertainty of the received signal is investigated, and the GEW’s analytical results in a multi-path fading channel are introduced. GEW tracking loop exploits the inherent multi-path diversity of the channel, and has better performance than single-path one when working in multi-path fading environment.展开更多
Windows TT是一种当前广泛应用的计算机网络操作系统,但其层出不穷的漏洞,也为入侵者打开了方便之门,使NT机的安全受到极大的威胁;在对Windows NT系统的种种攻击和破坏行为中,如何发现、跟踪与提取电子证据,是破获这类计算机犯罪案的关...Windows TT是一种当前广泛应用的计算机网络操作系统,但其层出不穷的漏洞,也为入侵者打开了方便之门,使NT机的安全受到极大的威胁;在对Windows NT系统的种种攻击和破坏行为中,如何发现、跟踪与提取电子证据,是破获这类计算机犯罪案的关键;端口监控与检测、日志检测与审核、分析有关文件目录等是获取此类电子证据的有效方法。展开更多
In this paper, we propose multiple CAMShift Algorithm based on Kalman filter and weighted search windows that extracts skin color area and tracks several human body parts for real-time human tracking system. The CAMSh...In this paper, we propose multiple CAMShift Algorithm based on Kalman filter and weighted search windows that extracts skin color area and tracks several human body parts for real-time human tracking system. The CAMShift Algorithm we propose searches the skin color region by detecting the skin color area from background model. Kalman filter stabilizes the floated search area of CAMShift Algorithm. Each occlusion areas are avoided by using weighted window of non-search areas and main-search area. And shadows are eliminated from background model and intensity of shadow. The proposed modified Camshaft algorithm can estimate human pose in real-time and achieves 96.82% accuracy even in the case of occlusions.展开更多
Maneuvering targets tracking is a fundamental task in intelligent vehicle research. Thispaper focuses on the problem of fusion between radar and image sensors in targets tracking. Inorder to improve positioning accura...Maneuvering targets tracking is a fundamental task in intelligent vehicle research. Thispaper focuses on the problem of fusion between radar and image sensors in targets tracking. Inorder to improve positioning accuracy and narrow down the image working area, a novel methodthat integrates radar filter with image intensity is proposed to establish an adaptive vision window.A weighted Hausdor? distance is introduced to define the functional relationship between image andmodel projection, and a modified simulated annealing algorithm is used to find optimum orientationparameter. Furthermore, the global state is estimated, which refers to the distributed data fusionalgorithm. Experiment results show that our method is accurate.展开更多
文摘PN (Pseudo-Noise) code tracking is the most challenging task in a Direct Sequence Spread Code Division Multiplex Access (DS-CDMA) for celluar mobile communication systems. In this paper, the gravity of energy windows (GEW) tracking loop of the time and frequency uncertainty of the received signal is investigated, and the GEW’s analytical results in a multi-path fading channel are introduced. GEW tracking loop exploits the inherent multi-path diversity of the channel, and has better performance than single-path one when working in multi-path fading environment.
文摘In this paper, we propose multiple CAMShift Algorithm based on Kalman filter and weighted search windows that extracts skin color area and tracks several human body parts for real-time human tracking system. The CAMShift Algorithm we propose searches the skin color region by detecting the skin color area from background model. Kalman filter stabilizes the floated search area of CAMShift Algorithm. Each occlusion areas are avoided by using weighted window of non-search areas and main-search area. And shadows are eliminated from background model and intensity of shadow. The proposed modified Camshaft algorithm can estimate human pose in real-time and achieves 96.82% accuracy even in the case of occlusions.
基金Supported by the Special Funds for Major State Basic Research Program of P.R.China(2001CB309403)
文摘Maneuvering targets tracking is a fundamental task in intelligent vehicle research. Thispaper focuses on the problem of fusion between radar and image sensors in targets tracking. Inorder to improve positioning accuracy and narrow down the image working area, a novel methodthat integrates radar filter with image intensity is proposed to establish an adaptive vision window.A weighted Hausdor? distance is introduced to define the functional relationship between image andmodel projection, and a modified simulated annealing algorithm is used to find optimum orientationparameter. Furthermore, the global state is estimated, which refers to the distributed data fusionalgorithm. Experiment results show that our method is accurate.
